Unlock the Power of Machine Learning: Learn the Techniques that are Revolutionizing Industry!
Machine Learning is transforming the world as we know it. From improving healthcare to predicting market trends, this innovative technology…
The Future Is Here: The Latest News And Developments In The World Of AI!
Artificial intelligence (AI) is rapidly evolving, and it is becoming an integral part of our daily lives. From business to…
Powerful Teachers Matter: Text-Guided Multi-view Knowledge Distillation with Visual Prior Enhancement
arXiv:2603.24208v1 Announce Type: cross Abstract: Knowledge distillation transfers knowledge from large teacher models to smaller students for efficient inference. While…
Synthetic Mixed Training: Scaling Parametric Knowledge Acquisition Beyond RAG
arXiv:2603.23562v1 Announce Type: cross Abstract: Synthetic data augmentation helps language models learn new knowledge in data-constrained domains. However, naively scaling…
A Deep Dive into Scaling RL for Code Generation with Synthetic Data and Curricula
arXiv:2603.24202v1 Announce Type: cross Abstract: Reinforcement learning (RL) has emerged as a powerful paradigm for improving large language models beyond…
CAPTCHA Solving for Native GUI Agents: Automated Reasoning-Action Data Generation and Self-Corrective Training
arXiv:2603.23559v1 Announce Type: cross Abstract: GUI agents are rapidly shifting from multi-module pipelines to end-to-end, native vision-language models (VLMs) that…
The Alignment Tax: Response Homogenization in Aligned LLMs and Its Implications for Uncertainty Estimation
arXiv:2603.24124v1 Announce Type: cross Abstract: RLHF-aligned language models exhibit response homogenization: on TruthfulQA (n=790), 40-79% of questions produce a single…
Upper Entropy for 2-Monotone Lower Probabilities
arXiv:2603.23558v1 Announce Type: cross Abstract: Uncertainty quantification is a key aspect in many tasks such as model selection/regularization, or quantifying…
PLDR-LLMs Reason At Self-Organized Criticality
arXiv:2603.23539v1 Announce Type: new Abstract: We show that PLDR-LLMs pretrained at self-organized criticality exhibit reasoning at inference time. The characteristics…
Mind Your HEARTBEAT! Claw Background Execution Inherently Enables Silent Memory Pollution
arXiv:2603.23064v2 Announce Type: replace-cross Abstract: We identify a critical security vulnerability in mainstream Claw personal AI agents: untrusted content encountered…
Cost-Sensitive Neighborhood Aggregation for Heterophilous Graphs: When Does Per-Edge Routing Help?
arXiv:2603.24291v1 Announce Type: cross Abstract: Recent work distinguishes two heterophily regimes: adversarial, where cross-class edges dilute class signal and harm…
The Specification Gap: Coordination Failure Under Partial Knowledge in Code Agents
arXiv:2603.24284v1 Announce Type: cross Abstract: When multiple LLM-based code agents independently implement parts of the same class, they must agree…
